An International Distance Learning System Based on the Internet and General Purpose Technology

2006 ◽  
Author(s):  
Baorong Ni ◽  
Ya Zhou
Keyword(s):  
Distance Learning ◽  
General Purpose ◽  
Learning System ◽  
The Internet ◽  
General Purpose Technology ◽  
Distance Learning System

A Model for a Distance Learning System over the Internet

2008 ◽  
Author(s):  
Alessandro Brawerman ◽  
Cícero F. Marques ◽  
Francisco J. K. G. Navarro ◽  
Rafael Ribeiro Macedo
Keyword(s):  
Distance Learning ◽  
Learning System ◽  
The Internet ◽  
Distance Learning System

E-learning experience in schools and colleges with 1C:Education platform

2020 ◽  
pp. 17-24
Author(s):  
T. A. Chernetskaya ◽  
N. A. Lebedeva
Keyword(s):  
Distance Learning ◽  
General Education ◽  
Learning Experience ◽  
Educational Process ◽  
Learning System ◽  
Full Time ◽  
Distance Learning System ◽  
Teachers And Students ◽  
E Learning ◽  
Mass Organization

The article presents the experience of mass organization of distance learning in organizations of secondary general and vocational education in March—May 2020 in connection with the difficult epidemiological situation in Russia. The possibilities of the 1C:Education system for organizing the educational process in a distance format, the peculiarities of organizing distance interaction in schools and colleges are considered, the results of using the system are summarized, examples of the successful use of the system in specific educational organizations are given. Based on the questionnaire survey of users, a number of capabilities of the 1C:Education system have been identified, which are essential for the full-fledged transfer of the educational process from full-time to distance learning. The nature and frequency of the use of electronic educational resources in various general education subjects in schools and colleges are analyzed, the importance of the presence in the distance learning system not only of a digital library of ready-made educational materials, but also of tools for creating author’s content is assessed. On the basis of an impersonal analysis of user actions in the system, a number of problems were identified that teachers and students faced in the process of an emergency transition to distance learning.

DISTANCE LEARNING AND INFORMATION SECURITY

2021 ◽  
pp. 51-65
Author(s):  
Andrei V. Gavrilenko ◽  
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Information Security ◽  
Learning System ◽  
Learning Problems ◽  
Security Assessment ◽  
Critical Nodes ◽  
Distance Learning System ◽  
Principal Directions ◽  
The University

The article considers an issue of information security of the distance education systems. It analyzes the functions and architecture of the typical distance education system. With considering the requirements of information security it also discusses the university information system for solving the distance learning problems. The author defines valuable assets and information resources and describes the existing security threats. The subjects of interaction in the distance learning mode are presented. There is a consideration of the principal directions of the university’s activity in the distance learning system, requiring constant monitoring of information security. A threat model is worked out and the main security vulnerabilities are highlighted. The analysis of the causes and consequences of information security violation in the distance learning system is carried out and most vulnerable and critical nodes were identified. The hardware and software requirements for the remote mode work are regarded. A recommended list of hardware and software tools that ensure compliance with safety requirements is presented. The major lines of protection for distance learning systems are highlighted. The article proves the necessity of conducting a regular security assessment as a means for monitoring an effectiveness of the protection system.

scholarly journals ARCHITECTURE OF A NEURAL NETWORK ANALYZER OF BIOMETRIC PARAMETERS OF LISTENERS OF THE DISTANCE LEARNING SYSTEM

2020 ◽  
pp. 91-99
Author(s):  
Liudmyla Tereikovska
Keyword(s):  
Neural Network ◽  
Distance Learning ◽  
Network Analysis ◽  
Learning System ◽  
Integrated Analysis ◽  
Network Analyzer ◽  
Neural Network Analysis ◽  
Biometric Parameters ◽  
The Neural Network ◽  
Distance Learning System

The urgency of the task of developing tools for neural network analysis of biometric parameters for recognizing the personality and emotions of students of the distance learning system has been substantiated. The necessity of formalizing the architectural solutions used in the creation of software for neural network analysis of biometric parameters is shown. As a result of the research carried out in terms of the UML modeling language, the architecture of the neural network analyzer of biometric parameters has been developed. Diagrams of options for using the neural network analyzer have been developed both for recognizing the personality of a student when entering the system, and for recognizing the personality and emotions of a student in the process of his interaction with the distance learning system. Also, based on the developed use case diagrams, a structural diagram of the analyzer is built. The necessity of including subsystems for determining the functional parameters of the analyzer, registration of biometric parameters, neural network analysis of registered biometric parameters, personality recognition and emotion recognition is substantiated. An original feature of the proposed architectural solutions is the introduction into the neural network analysis subsystem of an integrated analysis module designed to summarize the results of neural network analysis separately for each of the biometric parameters. A rule for making an integrated decision has been developed, taking into account the results of a neural network analysis of each of the registered biometric parameters and the corresponding weight coefficients determined by expert evaluation. The introduction of the integrated analysis module makes it possible to increase the accuracy of recognition of emotions and personality of a student, since the final classification is realized through a generalized assessment of several guaranteed significant biometric parameters. In addition, the use of this module makes it possible to increase the reliability of the neural network analyzer in case of difficulties associated with the registration of a particular biometric parameter. It has been established that the decision-making rule can be improved by using one or more neural networks in the integrated analysis module, designed to generalize the results of the neural network analysis of all registered biometric parameters. It is proposed to correlate the directions of further research with the development of appropriate neural network solutions.

scholarly journals Innovative methods of monitoring students’ knowledge and competencies under conditions of supervised independent work using the Moodle distance learning system

2020 ◽  
Vol 19 (5) ◽  
pp. 108-113
Author(s):  
N.S. Aliakhnovich ◽  
◽  
U.V. Yanchanka ◽  
Keyword(s):  
Distance Learning ◽  
Learning System ◽  
Innovative Methods ◽  
Distance Learning System ◽  
Independent Work

В статье изложены инновационные методы контроля знаний и компетенций студентов – составление итогового портфолио со сравнительными таблицами, написание учебной истории болезни и моделирование клинической ситуации на основе кейс-метода, рефлексивная практика после онлайн-лекции, примененные на кафедре клинической иммунологии и аллергологии с курсом ФПК и ПК ВГМУ в условиях управляемой самостоятельной работы студентов с использованием системы дистанционного обучения Moodle. Цель исследования – разработать и применить эффективные методы контроля знаний и компетенций студентов в процессе преподавания дисциплины «Клиническая иммунология, аллергология» в условиях управляемой самостоятельной работы с использованием системы дистанционного обучения Moodle. Результаты. Разработан и применен метод оценки уровня знаний студентов и способности к критическому анализу большого количества учебного материала с помощью составления обобщающих таблиц и формирования итогового портфолио по всем занятиям цикла «Клиническая иммунология, аллергология». Предложен метод промежуточного контроля в виде рефлексивной дискуссии после онлайн-лекций. В качестве определения сформированности профессиональных компетенций рекомендовано использовать кейс-метод для всестороннего анализа клинического случая в контексте реальной медицинской практики с обязательной формулировкой диагноза, разработкой лечения и рекомендаций при выписке, а также обратный кейс-метод с моделированием студентами клинической ситуации. Педагогическому тестированию отведена роль дополнительного элемента контроля знаний по дисциплине «Клиническая иммунология, аллергология». Заключение. На кафедре клинической иммунологии и аллергологии с курсом ФПК и ПК ВГМУ успешно разработаны и применены эффективные методы контроля знаний и компетенций студентов по дисциплине «Клиническая иммунология, аллергология», а именно: составление итогового портфолио со сравнительными таблицами, написание учебной истории болезни и моделирование клинической ситуации с применением кейс-метода, рефлексивная дискуссия после онлайн-лекции, педагогическое тестирование.

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